{"id":"W4402632858","doi":"10.1080/00150517.2000.12428811","title":"Random Combinations with Bounded Differences and Cospan","year":2000,"lang":"en","type":"article","venue":"The Fibonacci quarterly","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Bounded function; Mathematics; Statistics; Computer science; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009632797,0.002237979,0.003327669,0.002772645,0.001537273,0.003461017,0.002753359,0.00313257,0.01133756],"category_scores_gemma":[0.03007,0.001392763,0.001936662,0.002840267,0.005872324,0.006137432,0.002783871,0.004092943,0.001093208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002892831,"about_ca_system_score_gemma":0.001912857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003179506,"about_ca_topic_score_gemma":0.002481409,"domain_scores_codex":[0.9951579,0.002897869,0.000188212,0.0005873926,0.0007978504,0.000370811],"domain_scores_gemma":[0.9758108,0.02095176,0.0008010843,0.0007342118,0.001141449,0.0005606637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001952889,0.00001122995,0.00009202815,0.00003954614,0.00002244292,0.00005372267,0.00004028641,0.0247559,0.0000878225,0.9708661,0.0007690945,0.003242183],"study_design_scores_gemma":[0.00001991734,0.00002468032,0.0001124489,0.00002574093,0.00001471647,0.00005507017,0.00001940704,0.1508701,0.00007781278,0.8468833,0.001871696,0.00002508561],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02648673,0.004094535,0.9352454,0.00153821,0.0004201544,0.00007340432,0.0001518014,0.0001382857,0.03185148],"genre_scores_gemma":[0.7446904,0.006328445,0.1769181,0.001391312,0.001435468,0.0007785245,0.0004895743,0.0003337941,0.06763443],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01133756,"threshold_uncertainty_score":0.05094373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04186390386281771,"score_gpt":0.2982396164532253,"score_spread":0.2563757125904076,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}